Our team was selected the winner in the Quantum-Powered Logistics category of the Airbus and BMW Group Quantum Computing Challenge. Competing against over 420 teams, we developed an advanced optimization solution for complex supply chain management, balancing cost, efficiency, and sustainability.
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Learn how mathematical optimization can transform your supply chain management by improving efficiency, reducing costs, and enhancing resource allocation. Discover real-world applications and the role of advanced algorithms in solving complex logistical challenges.
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Press Release
4colors Research wins the Quantum-Powered Logistics track at the prestigious Airbus-BMW Quantum Computing Challenge for its innovative hybrid classical-quantum solution to optimize manufacturing supply chains.
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Mathematical optimization helps businesses make smarter, data-driven decisions to improve efficiency, reduce costs, and increase profitability. By applying optimization algorithms, companies can optimize resource allocation, streamline processes, and stay competitive in a world of limited resources.
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Press Release
4colors Research has been selected by the Defence Science and Technology Laboratory (Dstl) to develop scalable data analytics algorithms for defence applications. With its significant expertise in algorithms, data, and optimisation, 4colors Research is well-positioned to contribute to Dstl’s goals.
Our name is inspired by the Four Color Theorem, a result in graph theory, which was proved using computational methods. We believe in leveraging computational methods and artificial intelligence to design better optimization algorithms for real-world challenges.
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Press Release
4colors Research has been named a finalist in the ROADEF Optimization Challenge 2022, organized by Renault Group, for its innovative approach to 3D truck loading optimization. This highlights our cutting-edge approach to AI-driven supply chain solutions.
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